Development of a computer system for strabismus screening

The Strabismus affects about 4% of the children population, causing amblyopia disease. However, this problem can be found by the Hirschberg test that is one of the exams used to detect this pathology. This work presents a methodology for automatic detection of strabismus in digital images through th...

Full description

Saved in:
Bibliographic Details
Main Authors: Khumdat, N., Phukpattaranont, P., Tengtrisorn, S.
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
central corneal light reflex ratio
Digital images
Face
Hirschberg test
Image color analysis
Iris
Strabismus
strabismus screening
Surgery
Vision defects
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The Strabismus affects about 4% of the children population, causing amblyopia disease. However, this problem can be found by the Hirschberg test that is one of the exams used to detect this pathology. This work presents a methodology for automatic detection of strabismus in digital images through the Central corneal light reflex ratio (CCLRR) based on digital image processing. The proposed algorithm was organized into three stages: (1) skin detection was analyzed using the threshold of RGB color model (2) the locations of the eyes were detected using the morphological operation technique, position, threshold of gray level and shape. (3) The detection of the corneal light reflex were automatically detected by the grey levels in the range from histogram equation and locating of limbus. The methodology has produced results on the range 94.17% of accuracy, 97.23% of sensitivity and 73.08% of specificity.
DOI:10.1109/BMEiCon.2013.6687635